Attractor Nets, Series I: Notes Toward a New Theory of Mind, Logic and Dynamics in Relational Networks

52 Pages Posted: 8 Mar 2011

Date Written: March 6, 2011

Abstract

These notes explore the use of Sydney Lamb’s relational network notion for linguistics to represent the logical structure of complex collection of attractor landscapes (as in Walter Freeman’s account of neuro-dynamics). Given a sufficiently large system, such as a vertebrate nervous system, one might want to think of the attractor net as itself being a dynamical system, one at a higher order than that of the dynamical systems realized at the neuronal level. A mind is a fluid attractor net of fractional dimensionality over a neural net whose behavior displays complex dynamics in a state space of unbounded dimensionality. The attractor-net moves from one discrete state (frame) to another while the underlying neural net moves continuously through its state space.

Keywords: brain, neural net, neurodynamics, relational net, mind, complexity

Suggested Citation

Benzon, William L., Attractor Nets, Series I: Notes Toward a New Theory of Mind, Logic and Dynamics in Relational Networks (March 6, 2011). Available at SSRN: https://ssrn.com/abstract=1779322 or http://dx.doi.org/10.2139/ssrn.1779322

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